def trainClassifierOnTrainingDataReturnAll(numberOfTrainingExamples = -1):
trainData = dataReader.getTrainData(numberOfTrainingExamples)
# feature engineering
trainData = featureExtractor.convertTargetFeatureToNumeric(trainData)
xTrain, yTrain = featureExtractor.getRegularFeatures(trainData, True)
# classifier training
classifier = classifierSelector.trainClassifier(xTrain, yTrain)
return classifier, xTrain, yTrain
def trainClassifierOnTrainingData(trainData=None, numberOfTrainingExamples = -1, margins=None):
if trainData is None:
trainData = dataReader.getTrainData(numberOfTrainingExamples,margins)
# feature engineering
trainData = regularFeatExtr.convertTargetFeatureToNumeric(trainData)
xTrain, yTrain = regularFeatExtr.getRegularFeatures(trainData, True)
# classifier training
classifier = classifierSelector.trainClassifier(xTrain, yTrain)
return classifier